Roles and Responsibility

- Design and develop NLP models using various techniques and algorithms.
- Collaborate with cross-functional teams to integrate NLP capabilities into existing systems.
- Develop and maintain large-scale data pipelines for text preprocessing and feature extraction.
- Train and test NLP models on large datasets to ensure high accuracy and reliability.
- Implement automated testing frameworks to ensure model quality and performance.
- Continuously monitor and improve the performance of NLP models through hyperparameter tuning and experimentation.

Job Requirements

- Solid understanding of NLP concepts, including text representation, feature extraction, and machine learning algorithms.
- Experience with programming languages such as Python, Java, or C++.
- Familiarity with deep learning frameworks like TensorFlow or PyTorch is a plus.
- Excellent problem-solving skills and attention to detail.
- Ability to work collaboratively in a team environment and communicate complex ideas effectively.
- Strong organizational skills and ability to manage multiple projects simultaneously.

📌 NLP/ML Engineer (Delhi)
🏢 Wenger and Watson
📍 Delhi